Pat Kumar

2.6k citations
30 papers · 2.1k · h-index 20

Impact in

Papers in

Pat Kumar

29 papers receiving 2.1k citations

Peers

Pat Kumar
Comparison fields: 5 of 103
  • Neurology 435
  • Developmental Neuroscience 101
  • Immunology and Allergy 118
  • Cancer Research 239
  • Cell Biology 258
Replace Razao Issa with:
Razao Issa United Kingdom
Anita C. Bellail United States
Irene Ginis United States
Bàrbara Laviña Sweden
Jenny Norlin Sweden
Margitta Elvers Germany
James R. Tonra United States
Grace Ku United States
Craig A. Krekoski Canada
Wentian Yang United States
Pat Kumar relative to Razao Issa United Kingdom Razao Issa's profile →
Citations per field
00.5×1.5×1.9×
Razao Issa · 1×
Citations per year

Countries citing papers authored by Pat Kumar

Since Specialization
Citations

This map shows the geographic impact of Pat Kumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pat Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pat Kumar more than expected).

Fields of papers citing papers by Pat Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pat Kumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pat Kumar. The network helps show where Pat Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Pat Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pat Kumar Line = papers co-authored together Pat Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002301
2 1997242
3 1996233
4 2000201
5 2003144
6 1999140
7 1997130
8 2006119
9 200362
10
Insulin-like growth factor II and PAX3-FKHR cooperate in the oncogenesis of rhabdomyosarcoma.
199860
11 200747
12 200545
13 199543
14 199943
15 200739
16
Weibel-Palade bodies in endothelial cells as a marker for angiogenesis in brain tumors.
198036
17
TNF alpha down-regulates CD105 expression in vascular endothelial cells: a comparative study with TGF beta 1.
200336
18 200635
19 199831
20 199822

About Pat Kumar

Pat Kumar is a scholar working on Molecular Biology, Immunology and Allergy, Cancer Research, Cell Biology and Neurology, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (13 papers), Cell Adhesion Molecules Research (7 papers), TGF-β signaling in diseases (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Protease and Inhibitor Mechanisms (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Effects of Radiation Exposure (2 papers). The work is most often cited by research in Neurology (435 citations), Developmental Neuroscience (101 citations), Immunology and Allergy (118 citations), Cancer Research (239 citations) and Cell Biology (258 citations). Pat Kumar has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Shant Kumar, Jerzy Krupiński, Razao Issa, J Kałuza, Mark Slevin, Chenggang Li, Carmelo Bernabéu, Ian Hampson, Andrej Tarkowski and Anders Wallin. Their work appears in journals such as International Journal of Cancer, Stroke, Neuroreport, The FASEB Journal and Clinical Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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